Rules for Biologically Inspired Adaptive Network Design

  title={Rules for Biologically Inspired Adaptive Network Design},
  author={Atsushi Tero and Seiji Takagi and Tetsu Saigusa and Kentaro Ito and Daniel P. Bebber and Mark D. Fricker and Kenji Yumiki and Ryo Kobayashi and Toshiyuki Nakagaki},
  pages={439 - 442}
Miniature Transport Engineers In its vegetative phase, the slime mold Physarum polycephalum “slimes” its way through the world seeking food. As it explores, it links previously found food sources with tubular structures. Tero et al. (p. 439) report that if food sources are deposited on a plate in a pattern corresponding in miniature to the positions of the cities that surround Tokyo, the resulting network of Physarum tubules that develops is rather similar in structure to the railroad network… 

Slime mold inspired routing protocols for wireless sensor networks

Two different mechanisms of the slime mold’s tubular network formation process are exploited via laboratory experiments and mathematical behavior modeling to design two corresponding localized routing protocols for wireless sensor networks (WSNs) that take both efficiency and robustness into account.

Stepwise slime mould growth as a template for urban design

This work develops and map networks within existing urban environments that perform similarly to those biologically grown, establishing a versatile tool for bio-inspired urban network design.

Slime Mold Inspired Path Formation Protocol for Wireless Sensor Networks

A phenomenological model for the tube evolution in slime mold is used and mapped to a path formation protocol for wireless sensor networks and a thorough understanding of the simple network leads to design insights into appropriate parameter selection is presented.

Fault tolerant network design inspired by Physarum polycephalum

An existing model and algorithm are adapted and extended with stimulation and migration mechanisms which encourage formation of alternative paths, optimize edge positioning and allow for automated design and the resulting extended algorithm overcomes weaknesses in geometric graph design and can be used to design fault tolerant networks.

Bio-Inspired Transportation Network Optimisation Reinforcement Rules in Physarum Vein Networks

It is shown that the Physarum expansion neglected by the Flow Conductivity Model was not necessary, as the order in which food sources were met did not influence the final distribution of biomass and the model still has utility for bio-inspired optimisation and pedagogical purposes.

Transportation Network with Fluctuating Input/Output Designed by the Bio-Inspired Physarum Algorithm

This paper studies the design of network topology and traffic distribution with oscillatory input and output traffic flows and uses stability analysis to reveal how the system exhibits various topologies depending on the parameter, including complete mesh, partial mesh, Y-shaped, and V-shaped networks.

Simulating Transport Networks With a Physarum Foraging Model

The experimental results demonstrate that Physarum foraging models excel in constructing highly efficient and robust networks, which can be utilized for directing the design of transport networks in the real world.

Integrated mechanisms of cellular behavior : cell biology and biological physics of the slime mold Physarum polycephalum

This thesis demonstrates that the number of mitochondria correlates with the metabolic state of the cell: in the absence of glucose, the slime mold is forced to switch to different metabolic pathways, which occur inside the mitochondria.



Obtaining multiple separate food sources: behavioural intelligence in the Physarum plasmodium

It is concluded that the plasmodium tube network is a well designed and intelligent system when presented with multiple separate food sources and appeared to be a bistable system involving SMT and CYC.

Biological solutions to transport network design

Fungal networks demonstrate that indeterminate, decentralized systems can yield highly adaptive networks and achieve the seemingly competing goals of efficient transport and robustness, with decreasing relative investment, by selective reinforcement and recycling of transport pathways.

Intelligent behaviors of amoeboid movement based on complex dynamics of soft matter.

To address the development of cell shape, existing mechanochemical models of the protoplasm of Physarum are reviewed, more general models of motile cells are presented, and how to adapt existing models to explore theDevelopment of intelligent networks inphysarum is discussed.

Flow-network adaptation in Physarum amoebae

This model describes how the network of tubes expands and contracts depending on the flux of protoplasmic streaming, and reproduces experimental observations of the behavior of the organism, and the proposed algorithm based on Physarum is simple and powerful.

Minimum-risk path finding by an adaptive amoebal network.

A model for an adaptive-tube network is presented that is in good agreement with the experimental observations and the minimum-risk path is exhibited by the organism, determined by integrating along the path.

Intelligence: Maze-solving by an amoeboid organism

It is shown that this simple organism has the ability to find the minimum-length solution between two points in a labyrinth.